CVE-2025-9906
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CVSS Score
V3.1Attack Vector Metrics
Impact Metrics
Description
The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True.
One can create a specially crafted .keras model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed. This is achieved by crafting a special config.json (a file within the .keras archive) that will invoke keras.config.enable_unsafe_deserialization() to disable safe mode. Once safe mode is disable, one can use the Lambda layer feature of keras, which allows arbitrary Python code in the form of pickled code. Both can appear in the same archive. Simply the keras.config.enable_unsafe_deserialization() needs to appear first in the archive and the Lambda with arbitrary code needs to be second.
Available Exploits
Related News
Affected Products
Unknown Product
EU Vulnerability Database
Monitored by ENISA for EU cybersecurity
ENISA Analysis
Malicious code in bioql (PyPI)
Affected Products (ENISA)
ENISA Scoring
CVSS Score (4.0)
EPSS Score
ENISA References
Data provided by ENISA EU Vulnerability Database. Last updated: October 3, 2025
GitHub Security Advisories
Community-driven vulnerability intelligence from GitHub
Advisory Details
Affected Packages
CVSS Scoring
CVSS Score
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H
References
Advisory provided by GitHub Security Advisory Database. Published: September 19, 2025, Modified: September 23, 2025